{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:37:49Z","timestamp":1730248669702,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/icit.2019.8755046","type":"proceedings-article","created":{"date-parts":[[2019,7,4]],"date-time":"2019-07-04T22:14:55Z","timestamp":1562278495000},"page":"847-852","source":"Crossref","is-referenced-by-count":4,"title":["A Textural Deep Neural Network Combined With Handcrafted Features for Mechanical Failure Classification"],"prefix":"10.1109","author":[{"given":"Maria-Ximena","family":"Bastidas-Rodriguez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flavio-Augusto","family":"Prieto-Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luisa F.","family":"Polania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref11","article-title":"Extracci&#x00F3;n de caracter&#x00ED;sticas de textura basada en la Transformada Wavelet Discreta","author":"guerrero","year":"0","journal-title":"Capitulo 5 Escuela Superior de Ingenieros"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1109\/TIP.2010.2044957","article-title":"A Completed Modeling of Local Binary Pattern Operator for Texture Classification","volume":"19","author":"guo","year":"2010","journal-title":"IEEE Transactions on Image Processing"},{"journal-title":"Texture Classification using Fractal-based Features and Support Vector Machines","year":"0","author":"lin","key":"ref13"},{"key":"ref14","article-title":"Fractal Features based on Differential Box Counting Method for the Categorization of Digital Mammograms","volume":"2","author":"sankar","year":"2010","journal-title":"Int J of Computer Information Systems and Industrial Management Applications"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04146-4_17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.10.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.199"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.54"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0872-3"},{"key":"ref4","first-page":"207","author":"tuceryan","year":"1998","journal-title":"Texture Analysis The Handbook of Pattern Recognition and Computer Vision"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref3","article-title":"Finite Elements in Fracture Mechanics","author":"kuna","year":"2013","journal-title":"Solid Mechanics and its Applications"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2015.10.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"journal-title":"CNEA 490 Comisi&#x00F3;n Nacional de Energ&#x00ED;a Atomica","year":"1988","author":"ipohorski","key":"ref8"},{"key":"ref7","first-page":"83","article-title":"Fractographic classification in metallic materials by using 3D processing and computer vision techniques","volume":"25","author":"ximena","year":"2016","journal-title":"Revista de la Facultad de Ingenier&#x00ED;a - UCV"},{"key":"ref2","article-title":"Topic Expert Failure Analysis, Method and Solutions","author":"anselm","year":"0","journal-title":"Manager Analytical & Failure Analysis Services"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.01.014"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2015.03.020"},{"article-title":"Wavelet Convolutional Neural Networks for Texture Classification","year":"2017","author":"fujieda","key":"ref20"},{"key":"ref22","article-title":"Deep Learning for Biomedical Texture Image Analysis","author":"andrearczyk","year":"2016","journal-title":"Proceedings of the 18th Irish Machine Vision and Image Processing conference"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.08.016"},{"article-title":"Very Deep Convolutional Networks for Larg-scale Image Recognition","year":"2014","author":"simonyan","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280558"},{"key":"ref26","article-title":"Wavelet Convolutional Neural Networks for Texture Classification","author":"fujieda","year":"2017","journal-title":"Computer Vision and Pattern Recognition"},{"article-title":"What is wrong with Convolutional neural networks","year":"2017","author":"tarrasse","key":"ref25"}],"event":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","start":{"date-parts":[[2019,2,13]]},"location":"Melbourne, Australia","end":{"date-parts":[[2019,2,15]]}},"container-title":["2019 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/8746085\/8754907\/08755046.pdf?arnumber=8755046","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:14:23Z","timestamp":1657854863000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/8755046\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":27,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/icit.2019.8755046","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}